County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model

Cole, Wesley; Brown, Maxwell; Sergi, Brian; Carag, Vincent; Serpe, Louisa; Karmakar, Akash; Lopez, Anthony; Williams, Travis; Pinchuk, Paul

doi:10.25984/2282347

Title: County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model

Dataset
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Abstract

This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly weather data (2007-2013) for different sites across the US and is used as one of the inputs to the ReEDS-2.0 model (see the "ReEDS 2.0 GitHub Repository" resource link below), developed by NREL. The weather profiles apply to any capacity that exists or is built in each region and class. This helps calculate the generation that can be provided using these resources. Open, reference, and limited are 3 scenarios based on land-use allowance, derived from the Renewable Energy Potential (reV) model developed by NREL, which helps generate supply curves for renewable technologies and assess the maximum potential of renewable resources in a designated area. Each zipped file in this dataset corresponds to a technology and contains the respective land-use scenario files required to run that technology in ReEDS. To use this dataset, download and place the extracted files in the locally cloned ReEDS repository inside one of the folders (inputs/variability/multi_year). After completing this copy, upon running the ReEDS modelmore »« less

Authors:

Cole, Wesley; Brown, Maxwell; Sergi, Brian; Carag, Vincent; Serpe, Louisa; Karmakar, Akash; Lopez, Anthony; Williams, Travis; Pinchuk, Paul

National Renewable Energy Laboratory (NREL)

Publication Date:: Tue Aug 01 00:00:00 EDT 2023

Other Number(s):: 5986

Research Org.:: DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory (NREL)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)

Collaborations:: National Renewable Energy Laboratory (NREL)

Subject:: Array; Capacity expansion modeling; ReEDS; Regional Energy Deployment System; Utility-scale PV; capacity factor data; computational science; concentrated solar power; county-level; energy; high resolution capacity expansion; hourly weather data; model; offshore wind; onshore wind; power; processed data; renewable; solar; solar power; wind; wind power

OSTI Identifier:: 2282347

DOI:: https://doi.org/10.25984/2282347

Citation Formats


                    Cole, Wesley, Brown, Maxwell, Sergi, Brian, Carag, Vincent, Serpe, Louisa, Karmakar, Akash, Lopez, Anthony, Williams, Travis, and Pinchuk, Paul. County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model.  United States: N. p., 2023. 
        Web.  doi:10.25984/2282347.

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                    Cole, Wesley, Brown, Maxwell, Sergi, Brian, Carag, Vincent, Serpe, Louisa, Karmakar, Akash, Lopez, Anthony, Williams, Travis, & Pinchuk, Paul. County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model.  United States.  doi:https://doi.org/10.25984/2282347

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                    Cole, Wesley, Brown, Maxwell, Sergi, Brian, Carag, Vincent, Serpe, Louisa, Karmakar, Akash, Lopez, Anthony, Williams, Travis, and Pinchuk, Paul. 2023.  
"County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model".  United States.  doi:https://doi.org/10.25984/2282347.  https://www.osti.gov/servlets/purl/2282347. Pub date:Tue Aug 01 00:00:00 EDT 2023

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@article{osti_2282347,

  title        = {County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model},

  author       = {Cole, Wesley and Brown, Maxwell and Sergi, Brian and Carag, Vincent and Serpe, Louisa and Karmakar, Akash and Lopez, Anthony and Williams, Travis and Pinchuk, Paul},

  abstractNote = {This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly weather data (2007-2013) for different sites across the US and is used as one of the inputs to the ReEDS-2.0 model (see the "ReEDS 2.0 GitHub Repository" resource link below), developed by NREL. The weather profiles apply to any capacity that exists or is built in each region and class. This helps calculate the generation that can be provided using these resources. Open, reference, and limited are 3 scenarios based on land-use allowance, derived from the Renewable Energy Potential (reV) model developed by NREL, which helps generate supply curves for renewable technologies and assess the maximum potential of renewable resources in a designated area. Each zipped file in this dataset corresponds to a technology and contains the respective land-use scenario files required to run that technology in ReEDS. To use this dataset, download and place the extracted files in the locally cloned ReEDS repository inside one of the folders (inputs/variability/multi_year). After completing this copy, upon running the ReEDS model at the county-level spatial resolution for respective analysis purposes, the program will detect the presence of these files and will not fail.},

  doi          = {10.25984/2282347},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Aug 01 00:00:00 EDT 2023},

  month        = {Tue Aug 01 00:00:00 EDT 2023}

}

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DOI: https://doi.org/10.25984/2282347

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